Hi FancyTurkey50 , how did you run the agent command?

And everything works fine with regular pytorch

FancyTurkey50 , could you open a github issue for this so we could follow it? I'm quite curious

Cool, thanks for the info! I'll try to play with it as well 🙂

Also, how many GPUs are you trying to run off?

thanks!

The issue has been resolved. Details in the same github issue https://github.com/allegroai/clearml/issues/635#issuecomment-1324870817
CostlyOstrich36 FancyTurkey50 in case this was still unresolved at your end.

I'm still getting the machine usage reports

But no console or auto capturing of scalars?

and it doesnt work for 2 gpus either

I have posted an update on a relevant issue - https://github.com/allegroai/clearml/issues/635

will try 2

Hi Natan,
agent command: clearml-agent daemon --gpu all
I'm using 8 gpus. the model runs on all of them, but the logging isn't working

with regular pytorch it worked when running on all 8 gpus

I see. Just to simplify the issue - When using pytorch - were you getting machine usage reports (CPU/GPU usage)?
Also, I'm guessing various scalars aren't being reported. I'm guessing those were previously captured automatically by Clearml?

with one gpu it works fine

Also, what if you try using only one GPU with pytorch-lightning? Still nothing is reported - i.e. console/scalars?

Regular pytorch - you mean single GPU (I'm not familiar with torch distributed)?
Also just to give it a try, can you test with only 2 GPU's for example?

Hello. Sorry for bringing up the thread. I am facing the same issue on clearml-agent version 1.4.1 and clearml version 1.8.0 . Can you please point me to a github issue FancyTurkey50 or any resolution CostlyOstrich36 ?

we used the pytorch with multi-gpu (ddp)

we used to use pytorch and it worked just fine, but now we moved to pytorch-lightning (kind of extension on pytorch that gives keras-ish functionality)